6 papers
Human-AI Collaboration in Requirements Engineering: Evidence of the Negative Effect of LLMs on Requirements Inspection
Giovanna Broccia, Julian Frattini, Chetan Arora +4
Background. Requirements inspection (RI) is a well-established practice for detecting potential defects in requirements artifacts early in the software lifecycle. Recent advances i…
Specifying the Delegated-Autonomy Boundary: Requirements Engineering for Agentic AI
Chetan Arora, Andreas Vogelsang, Abbi Sharma
Agentic AI systems do not just predict or recommend; they plan, maintain state, and act in external environments with varying degrees of autonomy. This changes the requirements eng…
LLM-Driven Cost-Effective Requirements Change Impact Analysis
Romina Etezadi, Sallam Abualhaija, Chetan Arora +1
Requirements are inherently subject to change throughout the software development lifecycle. Within the limited budget available to requirements engineers, manually identifying the…
Classifier or Prompt: A Case Study on Legal Requirements Traceability
Romina Etezadi, Sallam Abualhaija, Chetan Arora +1
New regulations are introduced to ensure software development aligns with ethical concerns and protects public safety. Showing compliance requires tracing requirements to legal pro…
Class Model Generation from Requirements using Large Language Models
Jackson Nguyen, Rui En Koe, Fanyu Wang +2
The emergence of Large Language Models (LLMs) has opened new opportunities to automate software engineering activities that traditionally require substantial manual effort. Among t…
On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability
Andreas Vogelsang, Alexander Korn, Giovanna Broccia +3
Large language models (LLMs) are increasingly used to generate software artifacts, such as source code, tests, and trace links. Requirements play a central role in shaping the inpu…